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Youngju Nielsen

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day.

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In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day.

Additionally, the study note to do using Python programming will be provided.

The course is designed with the assumption that most students already have a little bit of knowledge in financial economics. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc.

The instructor will explain the detail of R programming for beginners. It will be an excellent course for you to improve your programming skills. If you are very good at R programming, it will provide you an excellent opportunity to practice again with finance and investment examples.

Professor Youngju Nielsen creates the course with the assistants of Keonwoo Lim and Jeeun Yuen.

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Coursera Course recommendations before this course for those who are not familiar with basic R programming:

https://www.coursera.org/projects/getting-started-with-r

https://www.coursera.org/learn/business-analytics-r

https://www.coursera.org/specializations/statistics-with-python

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What's inside

Syllabus

Analyzing Past Returns and Forecasting Future Returns
You will learn how to read stock price time-series data from CSV file and analyze the past return data. After you understand the past return data, you will determine what impacts stocks' return and make a future return forecasting model using regression.
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Understanding the Risk Using Factors
First of all, you will learn how you can gauge investment strategy using backtesting. You learned the first component of investment strategy, returns, in the first week. You will expand your study to assessing investment risks. To understand stocks' risks, you will calculate covariance and correlation matrix using historical time-series stock return data. You will extend this to market factor and three-factor models to understand the risk you are facing with your investment. Finally, you will calculate factor exposure using a 3-factor model from week 2 and separate common factor risk and idiosyncratic risk of the stock.
Portfolio Analysis and Optimization
In this week, This week, you will download various global ETFs and make global asset allocation portfolio using mean-variance optimization.
Performance Analysis
You will learn about various portfolios other than a mean-variance optimized portfolio. Additionally, you will add a constraint to your portfolio optimization. In reality, you might need to consider more than volatility measured by return standard deviation. You will grasp the concepts of VaR, maximum drawdowns and CvaR, etc.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches fundamental analysis of investment using R programming, suitable for aspiring or practicing investment managers
Covers essential investment analysis techniques, including return analysis, forecasting, risk assessment, portfolio optimization, and performance analysis
Taught by Professor Youngju Nielsen, an experienced finance professional and instructor
Provides practical hands-on exercises to reinforce learning and enhance students' analytical skills
Recommended prerequisites include basic knowledge of financial economics and introductory statistics
Suitable for students with a background in finance, economics, or related fields

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Reviews summary

Well-received data analytics course

According to students, this course is a great data analytics course with engaging content that is well-suited for beginners. Students also appreciate the instructor for being amazing and knowledgeable. Overall, students say that this is a well-structured course that is worth the time and effort.
Suitable for students with little to no experience.
"I consider it not easy at all for beginners, like me, but very challenging and interesting."
High ratings from most students.
"Best Course to get acquainted with data analytics in Finance."
"Great course and amazing teacher !!!"
Instructor is highly regarded by students.
"Great course and amazing teacher !!!"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Fundamental of Data-Driven Investment with these activities:
Refresh Basic Statistics
Review foundational knowledge of basic statistics concepts to establish a strong base for the course.
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Show steps
  • Review mean, median, and mode
  • Practice calculating standard deviation
  • Refresh hypothesis testing concepts
Complete Online R Programming Tutorials
Refining your R programming skills will enhance your ability to implement the analysis techniques discussed in the course.
Browse courses on R Programming
Show steps
  • Identify recommended online tutorials or courses for R programming.
  • Work through the tutorials at your own pace, completing exercises and practice problems.
Form a Study Group
Collaborating with peers will boost your understanding of the material while practicing core skills.
Browse courses on Investment Analysis
Show steps
  • Reach out to classmates via email, discussion boards, or social media.
  • Schedule regular meetings to discuss course material, complete assignments together, and quiz each other.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Solve R Programming Exercises
Engage in repetitive R programming exercises to reinforce understanding and enhance coding proficiency.
Browse courses on R Programming
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  • Work through online R coding challenges
  • Solve programming problems from textbooks
  • Participate in coding competitions
Analyze Historical Stock Data
Practicing data analysis techniques reinforces your skills and deepens your understanding of the concepts.
Browse courses on R Programming
Show steps
  • Obtain historical stock price data from sources like Yahoo Finance or Google Finance.
  • Create visualizations to analyze trends and patterns in the data using R programming.
  • Calculate statistical measures such as mean, median, and standard deviation.
Follow R Programming Tutorials
Seek out and complete guided tutorials to supplement course material and refine programming skills in R.
Browse courses on R Programming
Show steps
  • Explore online resources like Coursera and edX
  • Follow video tutorials on YouTube
  • Read documentation and user guides
Create a Course Summary
Organizing and reviewing course materials regularly improves retention and understanding.
Show steps
  • Compile notes, slides, and assignments from each module.
  • Summarize the key concepts and formulas covered.
  • Review your course summary regularly to reinforce your learning.
Develop an Investment Strategy
Creating your own investment strategy puts your knowledge into practice and strengthens your decision-making abilities.
Browse courses on Portfolio Analysis
Show steps
  • Define your investment goals and risk tolerance.
  • Research different asset classes and investment vehicles.
  • Create a diversified portfolio using mean-variance optimization techniques in R programming.
Develop a Stock Analysis Tool
Build a tool to analyze stock data and gain practical experience applying course concepts in a real-world context.
Browse courses on Stock Analysis
Show steps
  • Design the tool's features and functionality
  • Implement data processing and analysis algorithms
  • Create a user-friendly interface
Conduct a Stock Market Simulation
Engage in a simulated trading environment to apply investment strategies, make decisions, and evaluate outcomes.
Browse courses on Stock Market
Show steps
  • Establish investment objectives and constraints
  • Research and select stocks
  • Track performance and make adjustments

Career center

Learners who complete The Fundamental of Data-Driven Investment will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They may develop trading strategies, risk management models, and other financial products. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Investment Analyst
Investment Analysts research and analyze investments for individuals and institutions. They may specialize in a particular type of investment, such as stocks, bonds, or real estate. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Private Equity Investor
Private Equity Investors invest in private companies, typically with the goal of improving their financial performance and selling them for a profit. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Financial Engineer
Financial Engineers develop and implement financial instruments and models. They may work for investment banks, hedge funds, or other financial institutions. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Hedge Fund Manager
Hedge Fund Managers manage investment funds that invest in a variety of assets, including stocks, bonds, and commodities. They may use a variety of investment strategies to generate returns for their investors. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Venture Capitalist
Venture Capitalists invest in early-stage companies with high growth potential. They may provide funding for research and development, marketing, and other business expenses. A course like The Fundamental of Data-Driven Investment might be useful as it will teach you the basics of investment analysis and how to make informed investment decisions.
Investment Banker
Investment Bankers help companies raise capital by issuing new stock or debt. They may also advise companies on mergers and acquisitions. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to value companies.
Risk Manager
Risk Managers assess and manage financial risks for organizations. They may work for banks, insurance companies, or other financial institutions. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Data Scientist
Data Scientists use data to solve business problems. They may work in a variety of industries, including finance, healthcare, and retail. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you how to analyze data and make informed decisions.
Investment Consultant
Investment Consultants provide advice on investments to individuals and institutions. They may specialize in a particular type of investment, such as stocks, bonds, or real estate. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Compliance Officer
Compliance Officers ensure that organizations comply with laws and regulations. They may work for banks, insurance companies, or other financial institutions. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Financial Planner
Financial Planners help individuals and families plan for their financial future. They may provide advice on investments, retirement planning, and estate planning. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to make informed investment decisions.
Portfolio Manager
Portfolio Managers are responsible for making investment decisions for individuals and institutions. They may specialize in a particular type of investment, such as stocks, bonds, or real estate. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to use data to make informed investment decisions.
Financial Advisor
Financial Advisors help individuals and families plan for their financial future. They may provide advice on investments, retirement planning, and estate planning. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you the basics of investment analysis and how to make informed investment decisions.
Financial Analyst
Financial Analysts study an organization's financial health using accounting principles. You might examine a company's revenue, profit margins, and other financial data to determine its ability to meet its debt obligations and make a profit. A course like The Fundamental of Data-Driven Investment may be useful as it will teach you how to analyze a company's financial data to make informed investment decisions.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Fundamental of Data-Driven Investment.
Is the definitive guide to fundamental analysis. It provides a detailed overview of the techniques used to analyze companies and their financial statements.
This classic book provides a timeless framework for value investing. It must-read for any investor who wants to learn how to identify undervalued stocks.
Provides a unique perspective on investing for teachers. It great resource for anyone who wants to learn how to build wealth while working in the education field.
Provides a simple and straightforward guide to investing. It great resource for beginners who want to learn how to invest for the long term.
Provides a comprehensive guide to index fund investing. It great resource for anyone who wants to learn how to build a diversified portfolio of low-cost index funds.
Provides a simple and straightforward guide to investing for beginners. It great resource for anyone who wants to learn how to get started with investing.
Provides a practical guide to personal finance for Canadians. It great resource for anyone who wants to learn how to manage their money wisely.
Provides a timeless set of principles for building wealth. It great resource for anyone who wants to learn how to save money and invest wisely.
Provides a unique perspective on wealth and investing. It great resource for anyone who wants to learn how to think like a rich person.

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